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10.1016/j.puhe.2020.10.012

http://scihub22266oqcxt.onion/10.1016/j.puhe.2020.10.012
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33246302!7584439!33246302
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suck abstract from ncbi


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pmid33246302      Public+Health 2020 ; 189 (ä): 153-157
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  • Predictors of laboratory-positive COVID-19 in children and teenagers #MMPMID33246302
  • Murillo-Zamora E; Aguilar-Sollano F; Delgado-Enciso I; Hernandez-Suarez CM
  • Public Health 2020[Dec]; 189 (ä): 153-157 PMID33246302show ga
  • OBJECTIVE: The aim of the study was to identify factors predicting laboratory-positive coronavirus disease 2019 (COVID-19) in pediatric patients with acute respiratory symptoms. STUDY DESIGN: We conducted a cross-sectional analysis of a prospective cohort study. METHODS: Data from 1849 individuals were analyzed. COVID-19 was confirmed (reverse transcription-quantitative polymerase chain reaction) in 15.9% of patients, and factors predicting a positive test result were evaluated through prevalence odds ratios and 95% confidence intervals. RESULTS: Increasing age, personal history of obesity, and household contact with a case were found to be associated, in the multiple regression model, with increased odds of a positive test result. Young patients residing in areas with higher population sizes, as well as those with severe respiratory symptoms, were less likely to be laboratory confirmed. CONCLUSIONS: Early identification and isolation of children and teenagers with suggestive symptoms of COVID-19 is important to limit viral spread. We identified several factors predicting the laboratory test result. Our findings are relevant from a public health policy perspective, particularly after the restart of in-person academic activities.
  • |Adolescent[MESH]
  • |COVID-19 Nucleic Acid Testing[MESH]
  • |COVID-19/*diagnosis/*epidemiology[MESH]
  • |Child[MESH]
  • |Child, Preschool[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Infant[MESH]
  • |Male[MESH]
  • |Mexico/epidemiology[MESH]
  • |Odds Ratio[MESH]
  • |Prevalence[MESH]
  • |Prospective Studies[MESH]
  • |Risk Assessment[MESH]


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